Quick overview
Job description
The Ideal Candidate:
- Curious and eager to learn
- Able to take initiative and contribute ideas
- Professional, reliable, and accountable
- Team player who collaborates well with others
- Adaptable and open to feedback
What You'll Do:
- Collaborate with stakeholders across departments to understand workflows, pain points and manual processes, and identify high-value opportunities for AI and automation.
- Gather and document business and technical requirements, use cases and success measures for automation and AI-enabled solutions.
- Design, build and maintain workflow automations using Python and low-code/no-code platforms (e.g., Power Automate, Power Apps) to eliminate repetitive manual tasks.
- Evaluate, prototype, test and help implement AI-enabled tools (e.g., Microsoft Copilot, generative AI assistants and machine learning services), under appropriate supervision and in accordance with company policies.
- Develop prompts, agents and AI-assisted workflows that improve productivity, and document guidance and best practices for their use.
- Apply responsible-AI principles, including data privacy, security, accuracy validation and human oversight, and support compliance with company policy and GxP/regulatory expectations.
- Develop and optimize SQL queries and data pipelines to extract, transform and prepare data from multiple sources for analytics, automation and AI use cases.
- Support data analysis initiatives by identifying trends, insights and opportunities for process improvement and measurable efficiency gains, and present automation impact and insights to technical and non-technical audiences through dashboards and visualizations in Tableau or Power BI (or similar tools).
- Support system integrations, API-based connections and enhancements under the guidance of senior IT or data team members.
- Track and report benefits of automation and AI initiatives (e.g., time saved, error reduction, adoption), and contribute to the transformation roadmap.
- Prepare and maintain documentation, including process maps, technical notes, testing evidence and user guidance, and support change management and user training.
- Participate in project meetings, provide status updates and contribute ideas to continuous improvement and innovation initiatives.
What You'll Need:
- Currently pursuing a degree in Information Technology, Computer Science, Data Science, Artificial Intelligence, Analytics, Engineering or a related field.
- Strong analytical and problem-solving skills, with the ability to translate business needs into automation and AI-enabled solutions.
- Demonstrated interest and curiosity in AI, automation and emerging technologies, a willingness to keep learning, and awareness of responsible and ethical AI use, including data privacy, security and the limitations of AI outputs.
- Strong written and verbal communication skills, with the ability to work effectively with both technical and non-technical stakeholders.
- Highly organized and detail-oriented, with the ability to manage multiple tasks at once, work independently and contribute effectively as part of a collaborative team.
- Experience with Python for scripting, automation and data analysis, and working knowledge of SQL and relational databases.
- Understanding of data fundamentals, including data cleaning, transformation and reporting, and familiarity with Tableau, Power BI or other data visualization and business intelligence tools.
- Familiarity with generative AI tools, prompt engineering and AI assistants such as Microsoft Copilot, along with exposure to AI and machine learning concepts, tools or frameworks.
- Familiarity with workflow automation or low-code/no-code platforms (e.g., Power Automate, Power Apps), and a basic understanding of systems, data flows and technology-enabled process improvement.
- Experience with APIs, ETL processes, RPA or data integration tools, and exposure to cloud platforms (e.g., Microsoft Azure) and cloud-based AI services.
- Understanding of AI governance, data protection or regulated (GxP) environments.
- Prior internship, academic project or practical experience involving AI, automation, data or systems.
We will never communicate with you via Microsoft Teams or text message
We will never ask for your bank account information at any stage of recruitment
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